Chen Bai

1.2k total citations
33 papers, 802 citations indexed

About

Chen Bai is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Chen Bai has authored 33 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Oncology and 8 papers in Infectious Diseases. Recurrent topics in Chen Bai's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Antifungal resistance and susceptibility (6 papers) and Fungal and yeast genetics research (6 papers). Chen Bai is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Antifungal resistance and susceptibility (6 papers) and Fungal and yeast genetics research (6 papers). Chen Bai collaborates with scholars based in China, Singapore and United States. Chen Bai's co-authors include Yue Wang, Xianhua Gao, Lianjie Liu, Wei Zhang, Yan-Ming Wang, Xinde Zheng, Alan Wilhelm, Xiaojun Yan, Nicholas C. Yoder and Makiko Takenaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Chen Bai

32 papers receiving 790 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chen Bai China 15 311 288 141 113 108 33 802
Samuel McGee United States 14 795 2.6× 302 1.0× 57 0.4× 86 0.8× 31 0.3× 19 1.5k
Susan E. Sweeney United States 13 295 0.9× 188 0.7× 76 0.5× 72 0.6× 74 0.7× 19 839
José E. Guimarães Portugal 13 615 2.0× 162 0.6× 68 0.5× 125 1.1× 25 0.2× 26 934
Witold Lasek Poland 19 415 1.3× 564 2.0× 27 0.2× 87 0.8× 55 0.5× 50 1.4k
Ye Wang China 18 740 2.4× 169 0.6× 45 0.3× 86 0.8× 33 0.3× 58 1.1k
Leticia Rocha‐Zavaleta Mexico 18 357 1.1× 257 0.9× 30 0.2× 236 2.1× 33 0.3× 61 941
Eunji Yang South Korea 14 300 1.0× 114 0.4× 68 0.5× 94 0.8× 29 0.3× 28 839
Sanbao Ruan United States 19 610 2.0× 436 1.5× 137 1.0× 229 2.0× 24 0.2× 43 1.2k
Thomas E. Hansen‐Hagge Germany 19 544 1.7× 130 0.5× 27 0.2× 147 1.3× 49 0.5× 33 1.3k
Mingkuan Chen China 11 571 1.8× 78 0.3× 75 0.5× 168 1.5× 45 0.4× 13 851

Countries citing papers authored by Chen Bai

Since Specialization
Citations

This map shows the geographic impact of Chen Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chen Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Bai more than expected).

Fields of papers citing papers by Chen Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chen Bai. The network helps show where Chen Bai may publish in the future.

Co-authorship network of co-authors of Chen Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Bai. A scholar is included among the top collaborators of Chen Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chen Bai. Chen Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Bai, Chen, et al.. (2023). Design of a nanozyme-based magnetic nanoplatform to enhance photodynamic therapy and immunotherapy. Journal of Pharmaceutical Analysis. 14(9). 100928–100928. 6 indexed citations
3.
4.
Bai, Chen, Qing Hao Miow, Pei Min Thong, et al.. (2022). Nos2−/− mice infected with M. tuberculosis develop neurobehavioral changes and immunopathology mimicking human central nervous system tuberculosis. Journal of Neuroinflammation. 19(1). 21–21. 5 indexed citations
5.
Bai, Chen, Weiping Yu, Amaury Cazenave‐Gassiot, et al.. (2021). Active p38α causes macrovesicular fatty liver in mice. Proceedings of the National Academy of Sciences. 118(14). 17 indexed citations
6.
Gao, Xianhua, Hai Gong, Chen Bai, et al.. (2021). Which Definition of Upper Rectal Cancer Is Optimal in Selecting Stage II or III Rectal Cancer Patients to Avoid Postoperative Adjuvant Radiation?. Frontiers in Oncology. 10. 625459–625459. 5 indexed citations
7.
Gao, Xianhua, Hai Gong, Peng Liu, et al.. (2020). Comparison of Fresh Frozen Tissue With Formalin-Fixed Paraffin-Embedded Tissue for Mutation Analysis Using a Multi-Gene Panel in Patients With Colorectal Cancer. Frontiers in Oncology. 10. 310–310. 52 indexed citations
8.
Gao, Xianhua, et al.. (2020). Juvenile polyposis syndrome might be misdiagnosed as familial adenomatous polyposis: a case report and literature review. BMC Gastroenterology. 20(1). 167–167. 11 indexed citations
9.
Bai, Chen, et al.. (2020). Hog1-induced transcription of RTC3 and HSP12 is robust and occurs in cells lacking Msn2, Msn4, Hot1 and Sko1. PLoS ONE. 15(8). e0237540–e0237540. 9 indexed citations
10.
Gao, Xianhua, et al.. (2019). Clinical significance of multiple gene detection with a 22-gene panel in formalin-fixed paraffin-embedded specimens of 207 colorectal cancer patients. International Journal of Clinical Oncology. 24(2). 141–152. 13 indexed citations
11.
Yoder, Nicholas C., Chen Bai, Wayne C. Widdison, et al.. (2019). A Case Study Comparing Heterogeneous Lysine- and Site-Specific Cysteine-Conjugated Maytansinoid Antibody-Drug Conjugates (ADCs) Illustrates the Benefits of Lysine Conjugation. Molecular Pharmaceutics. 16(9). 3926–3937. 30 indexed citations
12.
Kovtun, Yelena, Gregory E. Jones, Sharlene Adams, et al.. (2018). A CD123-targeting antibody-drug conjugate, IMGN632, designed to eradicate AML while sparing normal bone marrow cells. Blood Advances. 2(8). 848–858. 129 indexed citations
13.
Gao, Xianhua, Hai Gong, Lianjie Liu, et al.. (2017). Differences of protein expression profiles, KRAS and BRAF mutation, and prognosis in right-sided colon, left-sided colon and rectal cancer. Scientific Reports. 7(1). 7882–7882. 47 indexed citations
14.
Bialucha, Carl Uli, Kathy L. Miller, Stuart W. Hicks, et al.. (2016). Microscale screening of antibody libraries as maytansinoid antibody-drug conjugates. mAbs. 8(3). 513–523. 17 indexed citations
15.
Bai, Chen, et al.. (2015). The yeast Hot1 transcription factor is critical for activating a single target gene,STL1. Molecular Biology of the Cell. 26(12). 2357–2374. 14 indexed citations
16.
Bai, Chen, et al.. (2011). Characterization of a hyperactive Cyr1 mutant reveals new regulatory mechanisms for cellular cAMP levels in Candida albicans. Molecular Microbiology. 82(4). 879–893. 16 indexed citations
17.
Gao, Xianhua, et al.. (2011). DNA topoisomerase II alpha: a favorable prognostic factor in colorectal caner. International Journal of Colorectal Disease. 27(4). 429–435. 10 indexed citations
18.
Wang, Yan Ming, et al.. (2006). The F‐box protein Grr1 regulates the stability of Ccn1, Cln3 and Hof1 and cell morphogenesis in Candida albicans. Molecular Microbiology. 62(1). 212–226. 33 indexed citations
19.
Bai, Chen, et al.. (2002). Spindle assembly checkpoint component CaMad2p is indispensable for Candida albicans survival and virulence in mice. Molecular Microbiology. 45(1). 31–44. 56 indexed citations
20.
Bai, Chen, et al.. (2002). Characterization and Functional Analysis of the Siderophore-Iron Transporter CaArn1p in Candida albicans. Journal of Biological Chemistry. 277(34). 30598–30605. 75 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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